Source: Big Data Talk Author: Huang Wenjian This article is 11200 words long and is recommended to be read in 15 minutes. This article explains some principles of convolutional neural networks (CNN) in deep learning and some classic network architectures. Overview of Convolutional Neural Network Principles Convolutional Neural Networks (CNN) were originally designed to solve … Read more
Author: Zhang Xu Editor: Wang Shuwei This article has 4794 words and 27 images, reading time is about 11 minutes Forget it Read as long as you want Zero Reference Directory: 1. Convolutional Layer 1.1 The Role of Convolutional Layer in CNN 1.2 How Convolutional Layers Work 1.3 Convolutional Layers in AlexNet 2. Pooling and … Read more
Evolution of CNN Architecture: From AlexNet to ResNet Hello everyone, I am Sister Liu. Today we will delve into the evolution of Convolutional Neural Networks (CNN), which is one of the most important technological developments in the field of computer vision. Background Knowledge Before the rise of deep learning, traditional image recognition methods relied on … Read more
Hello everyone, I am Red Stone! The first typical CNN is the LeNet5 network, while the first CNN to shine brightly was AlexNet. In 2012, AlexNet emerged in the globally renowned image recognition competition ILSVRC, directly reducing the error rate by nearly 10 percentage points, which was something all previous machine learning models could not … Read more